AI model comparison
Mistral Small 4 vs gpt-oss-120b
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 262K
OpenAI
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Input / 1M
- $0.04
- Output / 1M
- $0.17
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
gpt-oss-120b
3.8x cheaper for a typical chat
Higher intelligence score
gpt-oss-120b
11.6 vs 11.3 on Artificial Analysis
Larger context window
Mistral Small 4
262K vs 131K tokens
Newer release
Mistral Small 4
Released March 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Small 411.3gpt-oss-120b11.6Coding index
Mistral Small 426.6gpt-oss-120b30.4Agentic index
Mistral Small 40.8gpt-oss-120b3.7Pricing
Mistral Small 4 vs gpt-oss-120b API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Small 4 | gpt-oss-120b |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.04 |
| Output tokensPer 1M tokens | $0.60 | $0.17 |
| Cached input (read)Per 1M tokens | $0.02 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Mistral Small 4$0.60gpt-oss-120b$0.16Coding task
30K in, 4K out
Mistral Small 4$6.90$2.85 cachedgpt-oss-120b$1.79Long document summary
150K in, 2K out
Mistral Small 4$23.70$3.45 cachedgpt-oss-120b$5.89Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Small 4 | gpt-oss-120b |
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 210K tokens | 118K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, None | High, Medium, Low |
| Default reasoning effort | High | Medium |
| Release date | March 16, 2026 | August 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Small 4 | gpt-oss-120b |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Mistral Small 4View full model details- Mistral Small 4 vs Gemini 2.5 Flash Lite
- Mistral Small 4 vs GPT-5 Nano
- Mistral Small 4 vs Qwen3 235B A22B Instruct 2507
- Mistral Small 4 vs Nemotron 3 Super
- Mistral Small 4 vs Qwen3 Coder 480B A35B
- Mistral Small 4 vs GLM 4.6V
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- Mistral Small 4 vs Trinity Large Thinking
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- Mistral Small 4 vs Mistral Large 3 2512
- Mistral Small 4 vs Mistral Medium 3.1
- Mistral Small 4 vs Mistral Medium 3
- Mistral Small 4 vs Saba
gpt-oss-120bView full model details- gpt-oss-120b vs Muse Spark 1.3 Contributor
- gpt-oss-120b vs Gemini 2.5 Flash Lite
- gpt-oss-120b vs Gemma 4 31B
- gpt-oss-120b vs Qwen3.7 Flash
- gpt-oss-120b vs gpt-oss-20b
- gpt-oss-120b vs GPT-5 Nano
- gpt-oss-120b vs Qwen3 235B A22B Instruct 2507
- gpt-oss-120b vs Mercury 2.5
- gpt-oss-120b vs Qwen3.5-9B
- gpt-oss-120b vs Nemotron 3.5 Lightning
- gpt-oss-120b vs GPT-4.1 Nano
- gpt-oss-120b vs Granite 4.2 8B
- gpt-oss-120b vs Nemotron 3 Super
- gpt-oss-120b vs Qwen3 Coder 30B A3B Instruct
- gpt-oss-120b vs Nemotron 3 Nano 30B A3B
Our take
gpt-oss-120b is 3.8x cheaper for a typical chat. gpt-oss-120b scores higher on the Artificial Analysis Intelligence Index (11.6 vs 11.3). Mistral Small 4 has the larger context window (262K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Mistral Small 4 or gpt-oss-120b cheaper?
gpt-oss-120b is cheaper for a typical chat (2K input tokens and 500 output tokens). gpt-oss-120b costs $0.04 per 1M input tokens and $0.17 per 1M output tokens, while Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Mistral Small 4 or gpt-oss-120b?
Mistral Small 4 supports up to 262K tokens of context, compared with 131K for gpt-oss-120b.
Is Mistral Small 4 smarter than gpt-oss-120b?
On the Artificial Analysis Intelligence Index, Mistral Small 4 scores 11.3 and gpt-oss-120b scores 11.6, putting gpt-oss-120b ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Small 4 and gpt-oss-120b at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Small 4 and gpt-oss-120b answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Small 4 and gpt-oss-120b at the same time. Compare the answers side by side and keep the best one.